AWS re:Invent 2017

Latest Episodes:

MCL211: NEW LAUNCH! Introducing Amazon Sumerian – Build VR/AR and 3D Applications Dec 01, 2017

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AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. In this session, we will introduce you to Sumerian, and how you can build highly immersive and interactive scenes for the enterprise that run on popular hardware such as Oculus Rift, HTC Vive, and iOS mobile devices.

MCL210: Machine Learning State of the Union Dec 01, 2017

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Join us to hear about our strategy for driving machine learning innovation for our customers and learn what's new from AWS in the machine learning space. Swami Sivasubramanian, VP of Amazon Machine Learning, will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.

MBL403: Analytics, Authentication and Data with JavaScript: AWS Amplify Dec 01, 2017

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JavaScript based applications across mobile and web can be challenging to integrate with AWS services for teams that aren't familiar with infrastructure operations. AWS Mobile has just launched a comprehensive open-source library, AWS Amplify, and tooling to help frontend and mobile developer quickly add features to their applications using a declarative programming style organized by categories of Authentication, Storage, APIs and Analytics. You'll see how Serverless infrastructure for mobile and web applications can not only be launched in a couple of commands, but you can use the new tooling to iteratively add features and code to applications that under the covers interface with Amazon Cognito, Amazon S3, Amazon API Gateway, AWS Lambda, Amazon DynamoDB and Amazon Pinpoint. You'll also see some framework specific techniques such as leveraging Higher Order Components (HOCs) in a React or React Native application as well as other best practices and utilities that AWS Mobile has released.

MCL202: Ally Bank & Cognizant: Transforming Customer Experience Using Amazon Alexa Dec 01, 2017

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Given the increasing popularity of natural language interfaces such as Voice as User technology or conversational artificial intelligence (AI), Ally® Bank was looking to interact with customers by enabling direct transactions through conversation or voice. They also needed to develop a capability that allows third parties to connect to the bank securely for information sharing and exchange, using oAuth, an authentication protocol seen as the future of secure banking technology. Cognizant's Architecture team partnered with Ally Bank's Enterprise Architecture group and identified the right product for oAuth integration with Amazon Alexa and third-party technologies. In this session, we discuss how building products with conversational AI helps Ally Bank offer an innovative customer experience; increase retention through improved data-driven personalization; increase the efficiency and convenience of customer service; and gain deep insights into customer needs through data analysis and predictive analytics to offer new products and services. Session sponsored by Cognizant

MCL204: The Unusual Suspect: How Washington County Sheriff's Office is using Amazon AI to Identify Persons of Interest For Law Enforcement Dec 01, 2017

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In this session, we dive into design paradigms and architectures that allow you to leverage the power of AWS AI services and Analytics to build intelligent AI systems. Going back to 2001, Washington County jail management system has archived hundred thousands of mugshots and by using Amazon Rekognition and other AWS services, they were able to build a powerful tool for identifying suspects.

MCL205: Introduction to Deep Learning Dec 01, 2017

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Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.

MCL206: Creating Next Generation Speech-Enabled Applications with Amazon Polly Dec 01, 2017

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Amazon Polly is a service that turns text into lifelike speech, making it easy to develop applications that use high-quality speech to increase engagement and accessibility. Get a glimpse into successful applications that use Amazon Polly text-to-speech service to enable an app to talk to its users. Attendees will benefit from understanding real-world business use cases, and learn how to add feature-rich voice capabilities to their new or existing applications.

MCL207: Amazon Lex Integration with IVR Dec 01, 2017

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In this session, we cover an integration of Amazon Lex with a contact center solution. We demonstrate how an Amazon Lex chatbot can be inserted into an interactive voice response (IVR) workflow in a contact center, enabling users to interact with the chatbot using natural language. We walk through a ready-to-deploy integration that includes building the bot, setting up the IVR, and managing the call routing. We also describe the best practices for selective routing based on user intent, exchange of information between the chatbot/IVR, and handover to a human agent.

MCL209: NEW LAUNCH! Introducing Amazon Translate – Now in Preview Dec 01, 2017

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Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Neural machine translation uses deep learning to deliver more accurate and more natural sounding translation than older statistical and rule-based translation algorithms. Amazon Translate enables translation at scale so that you can easily translate large volumes of text efficiently to handle tasks like localizing content for international users and facilitating real-time cross-lingual communication. Join this session to learn more and find out how you get can started with Amazon Translate, today!

MCL215: NEW LAUNCH! Introducing Amazon Transcribe – Now in Preview Dec 01, 2017

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Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech to text capability to their applications. The ASR service can be used across a breadth of industries. For example, customer contact centers can convert call recordings into text for further analysis of what drives positive outcomes; media content producers can automate subtitling workflows for greater reach, and marketers and advertisers can enhance content discovery and display more targeted advertising based on the extracted metadata.

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